| 基于免疫算法和神经网络的新型抗体网络 |
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| 引用本文： | 陈科,许家珆,程永新. 基于免疫算法和神经网络的新型抗体网络[J]. 电子科技大学学报(社会科学版), 2006, 0(5) |
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| 作者姓名： | 陈科 许家珆 程永新 |
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| 作者单位： | 电子科技大学应用数学学院 成都610054 |
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| 基金项目： | 四川省科技厅基础项目(04JY029-017-1) |
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| 摘 要： | 构建了基于免疫算法和神经网络的新型抗体网络入侵检测系统,系统与网络入侵检测功能相结合,应用于大型网络的入侵检测任务,具有良好的可扩充性;重点讨论了新型抗体网络原理,引进BP神经网络自学习能力,对已有的抗体网络模型进行改进;通过对网络数据集的测试表明,该算法相对于传统抗体网络,其检测效率得到了明显的改善。
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| 关 键 词： | 入侵检测算法 免疫算法 神经网络 抗体网络 |
A Novel Antibody Network Base on Immune Algorithm and Neural Network |
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| CHEN Ke,XU Jia-yi,CHENG Yong-xin. A Novel Antibody Network Base on Immune Algorithm and Neural Network[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2006, 0(5) |
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| Authors: | CHEN Ke XU Jia-yi CHENG Yong-xin |
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| Abstract: | This paper designs an antibody network(ABNET) based on immune algorithm and neural network used for Intrusion Detection System. The ABNET system combines network-based intrusion detection functions. It can be used to protect large area network and has relatively good expansibility. This paper also discusses the theory of the ABNET. The algorithm has been tested on a network data set. The result shows that it had much better performance than traditional ABNET. |
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| Keywords: | intrusion detection algorithm immune algorithm neural network antibody network |
| 本文献已被 CNKI 等数据库收录！ |
